Merging an Active Database and a Reflective System: Modelling a New Several Active Meta-Levels Architecture (Abstract). - Laure Berti (BNCOD, 1997)

Out of Overinformation by Information Filtering and Information Quality Weighting. - Laure Berti (IQ, 1997)

Combining the Power of Query Languages and Search Engines for On-line Document and Information Retrieval : The QIRi@D Environment. - Laure Berti; Jean-Luc Damoiseaux; Elisabeth Murisasco (PODDP, 1998)

From Data Source Quality to Information Quality: The Relative Dimension. - Laure Berti (IQ, 1998)

Quality and Recommendation of Multi-source Data for Assisting Technological Intelligence Applications. - Laure Berti (DEXA, 1999)

Qualité de données multi-sources et recommandation multi-critères. - Laure Berti (INFORSID, 1999)

Integration of Biological Data and Quality-Driven Source Negotiation. - Laure Berti-Équille (ER, 2001)

Integration of biological data on transcriptome. - Laure Berti-Équille; Fouzia Moussouni; Anne Arcade (Ingénierie des Systèmes d Inf., 2001)

Annotation et recommandation collaboratives de documents selon leur qualité. - Laure Berti-Équille (Ingénierie des Systèmes d Inf., 2002)

Renseigner la qualité des connaissances par la fusion d'indicateurs sur la qualité des données. - Laure Berti-Équille (EGC, 2003)

Quality-Based Recommendation of XML Documents. - Laure Berti-Équille (J. Digit. Inf. Manag., 2003)

Recherche dans de grandes bases d'images fixes : une nouvelle approche guidée par les règles d'association. - Anicet Kouomou Choupo; Annie Morin; Laure Berti-Équille (EGC, 2004)

Multimedia indexing and retrieval with features association rules mining. - Anicet Kouomou Choupo; Laure Berti-Équille; Annie Morin (ICME, 2004)

Quality-Adaptive Query Processing Over Distributed Sources. - Laure Berti-Équille (ICIQ, 2004)

Un état de l'art sur la qualité des données. - Laure Berti-Équille (Ingénierie des Systèmes d Inf., 2004)

Optimizing progressive query-by-example over pre-clustered large image databases. - Anicet Kouomou Choupo; Laure Berti-Équille; Annie Morin (CVDB, 2005)

Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW. - Emilie Guérin; Gwenaëlle Marquet; Anita Burgun; Olivier Loréal; Laure Berti-Équille; Ulf Leser; Fouzia Moussouni (DILS, 2005)

Nettoyage des données XML : combien ça coûte ? - Laure Berti-Équille (EGC (Ateliers), 2005)

Quality-Aware Integration and Warehousing of Genomic Data. - Laure Berti-Équille; Fouzia Moussouni (ICIQ, 2005)

Enriching Multimedia Content Description for Broadcast Environments: From a Unified Metadata Model to a New Generation of Authoring Tool. - Boris Rousseau; Laure Berti-Équille; Wilfried Jouve (ISM, 2005)

Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes. - Laure Berti-Équille (EGC, 2006)

Quality-Aware Association Rule Mining. - Laure Berti-Équille (PAKDD, 2006)

Contributions to Quality-Aware Online Query Processing. - Laure Berti-Équille (IEEE Data Eng. Bull., 2006)

Report from the First and Second International Workshops on Information Quality in Information Systems: IQIS 2004 and IQIS 2005 in conjunction with ACM SIGMOD/PODS Conferences. - Monica Scannapieco; Laure Berti-Équille (SIGMOD Rec., 2006)

Quality Awareness for Managing and Mining Data. - Laure Berti-Équille (2007)

A Framework for Quality Evaluation in Data Integration Systems. - Jacky Akoka; Laure Berti-Équille; Omar Boucelma; Mokrane Bouzeghoub; Isabelle Comyn-Wattiau; Mireille Cosquer; Virginie Goasdoué-Thion; Zoubida Kedad; Sylvaine Nugier; Verónika Peralta; Samira Si-Said Cherfi (ICEIS (3), 2007)

QDex: A Database Profiler for Generic Bio-data Exploration and Quality Aware Integration. - Fouzia Moussouni; Laure Berti-Équille; G. Rozé; Olivier Loréal; Emilie Guérin (WISE Workshops, 2007)

End-to-end quality of service provisioning through an integrated management system for multimedia content delivery. - Toufik Ahmed; Abolghasem (Hamid) Asgari; Ahmed Mehaoua; Eugen Borcoci; Laure Berti-Équille; George Kormentzas (Comput. Commun., 2007)

Data quality awareness: a case study for cost optimal association rule mining. - Laure Berti-Équille (Knowl. Inf. Syst., 2007)

Measuring and Modelling Data Quality for Quality-Awareness in Data Mining. - Laure Berti-Équille (Quality Measures in Data Mining, 2007)

Tracing Data Pollution in Large Business Applications. - Laure Berti-Équille (ICIQ, 2008)

Measuring and Constraining Data Quality with Analytic Workflows. - Laure Berti-Équille (QDB/MUD, 2008)

Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence. - Laure Berti-Équille; Anish Das Sarma; Xin Dong 001; Amélie Marian; Divesh Srivastava (CIDR, 2009)

Multidimensional Management and Analysis of Quality Measures for CRM Applications in an Electricity Company. - Verónika Peralta; Virginie Thion-Goasdoué; Zoubida Kedad; Laure Berti-Équille; Isabelle Comyn-Wattiau; Sylvaine Nugier; Samira Si-Said Cherfi (ICIQ, 2009)

Integrating Conflicting Data: The Role of Source Dependence. - Xin Luna Dong; Laure Berti-Équille; Divesh Srivastava (Proc. VLDB Endow., 2009)

Truth Discovery and Copying Detection in a Dynamic World. - Xin Luna Dong; Laure Berti-Équille; Divesh Srivastava (Proc. VLDB Endow., 2009)

Challenges of Quality-Driven Resource Discovery. - Bernd Amann; Laure Berti-Équille; Zoé Lacroix; Maria-Esther Vidal (RED, 2010)

La qualité des systèmes d'information. - Isabelle Comyn-Wattiau; Jacky Akoka; Laure Berti-Équille (Ingénierie des Systèmes d Inf., 2010)

Global Detection of Complex Copying Relationships Between Sources. - Xin Dong 001; Laure Berti-Équille; Yifan Hu; Divesh Srivastava (Proc. VLDB Endow., 2010)

SOLOMON: Seeking the Truth Via Copying Detection. - Xin Dong 001; Laure Berti-Équille; Yifan Hu; Divesh Srivastava (Proc. VLDB Endow., 2010)

Processing Top-k Join Queries. - Minji Wu; Laure Berti-Équille; Amélie Marian; Cecilia M. Procopiuc; Divesh Srivastava (Proc. VLDB Endow., 2010)

Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. - Laure Berti-Équille; Tamraparni Dasu; Divesh Srivastava (ICDE, 2011)

DAQ_UWE: A framework for designing data quality aware web applications. - César Guerra-García; Ismael Caballero 001; Laure Berti-Équille; Mario Piattini (ICIQ, 2011)

Assessment and analysis of information quality: a multidimensional model and case studies. - Laure Berti-Équille; Isabelle Comyn-Wattiau; Mireille Cosquer; Zoubida Kedad; Sylvaine Nugier; Verónika Peralta; Samira Si-Said Cherfi; Virginie Thion-Goasdoué (Int. J. Inf. Qual., 2011)

ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. - Noël Novelli; Laure Berti-Équille; Christophe Hurter (EGC, 2012)

Multi-Scale Data Integration Challenges in the Observational Science Data Space. - Laure Berti-Équille (it Inf. Technol., 2012)

Data Fusion: Resolving Conflicts from Multiple Sources. - Xin Luna Dong; Laure Berti-Équille; Divesh Srivastava (Handbook of Data Quality, 2013)

Don't be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes. - Mohamed Yakout; Laure Berti-Équille; Ahmed K. Elmagarmid (SIGMOD Conference, 2013)

Data Fusion: Resolving Conflicts from Multiple Sources. - Xin Luna Dong; Laure Berti-Équille; Divesh Srivastava (WAIM, 2013)

Truth Discovery Algorithms: An Experimental Evaluation. - Dalia Attia Waguih; Laure Berti-Équille (CoRR, 2014)

Web Data Quality: Current State and New Challenges. - Amrapali Zaveri; Andrea Maurino; Laure Berti-Équille (Int. J. Semantic Web Inf. Syst., 2014)

Data veracity estimation with ensembling truth discovery methods. - Laure Berti-Équille (IEEE BigData, 2015)

AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. - Dalia Attia Waguih; Naman Goel; Hossam M. Hammady; Laure Berti-Équille (ICDE, 2015)

Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP). - Ismael Caballero 001; Laure Berti-Équille; Mario Piattini (ICEIS (1), 2015)

A quality-aware spatial data warehouse for querying hydroecological data. - Lilia Berrahou; Nathalie Lalande; Eva Serrano; Guihem Molla; Laure Berti-Équille; Sandro Bimonte; Sandra Bringay; Flavie Cernesson; Corinne Grac; Dino Ienco; Florence Le Ber; Maguelonne Teisseire (Comput. Geosci., 2015)

A masking index for quantifying hidden glitches. - Laure Berti-Équille; Ji Meng Loh; Tamraparni Dasu (Knowl. Inf. Syst., 2015)

Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. - Andres Troya-Galvis; Pierre Gançarski; Nicolas Passat; Laure Berti-Équille (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics - Laure Berti-Équille; Javier Borge-Holthoefer (Morgan & Claypool Publishers, 2015)

Metabolomic Data Profiling for Diabetes Research in Qatar. - Raghvendra Mall; Laure Berti-Équille; Halima Bensmail (DEXA Workshops, 2016)

On the Use of Ontology as A Priori Knowledge into Constrained Clustering. - Hatim Chahdi; Nistor Grozavu; Isabelle Mougenot; Laure Berti-Équille; Younès Bennani (DSAA, 2016)

Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites. - Hatim Chahdi; Nistor Grozavu; Isabelle Mougenot; Laure Berti-Équille; Younès Bennani (EGC, 2016)

Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (EGC, 2016)

A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (EGC (best of volume), 2016)

Scaling up truth discovery. - Laure Berti-Équille (ICDE, 2016)

Towards Ontology Reasoning for Topological Cluster Labeling. - Hatim Chahdi; Nistor Grozavu; Isabelle Mougenot; Younès Bennani; Laure Berti-Équille (ICONIP (3), 2016)

Collaborative segmentation and classification for remote sensing image analysis. - Andres Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (ICPR, 2016)

Using Twitter to Understand Public Interest in Climate Change: The Case of Qatar. - Sofiane Abbar; Tahar Zanouda; Laure Berti-Équille; Javier Borge-Holthoefer (EcoMo@ICWSM, 2016)

Rheem: Enabling Multi-Platform Task Execution. - Divy Agrawal; Mouhamadou Lamine Ba; Laure Berti-Équille; Sanjay Chawla; Ahmed K. Elmagarmid; Hossam Hammady; Yasser Idris; Zoi Kaoudi; Zuhair Khayyat; Sebastian Kruse 001; Mourad Ouzzani; Paolo Papotti; et al. (SIGMOD Conference, 2016)

VERA: A Platform for Veracity Estimation over Web Data. - Mouhamadou Lamine Ba; Laure Berti-Équille; Kushal Shah; Hossam M. Hammady (WWW (Companion Volume), 2016)

Veracity of Big Data: Challenges of Cross-Modal Truth Discovery. - Laure Berti-Équille; Mouhamadou Lamine Ba (ACM J. Data Inf. Qual., 2016)

Profiling DRDoS Attacks with Data Analytics Pipeline. - Laure Berti-Équille; Yury Zhauniarovich (CIKM, 2017)

Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution. - Eva C. Serrano Balderas; Laure Berti-Équille; Maria Aurora Armienta Hernandez; Corinne Grac (DEXA Workshops, 2017)

Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Isabelle Mougenot; Laure Berti-Équille (EGC, 2017)

UGuide: User-Guided Discovery of FD-Detectable Errors. - Saravanan Thirumuruganathan; Laure Berti-Équille; Mourad Ouzzani; Jorge-Arnulfo Quiané-Ruiz; Nan Tang 001 (SIGMOD Conference, 2017)

On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment. - Tahar Zanouda; Sofiane Abbar; Laure Berti-Équille; Kushal Shah; Abdelkader Baggag; Sanjay Chawla; Jaideep Srivastava (SocInfo (2), 2017)

Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (Rev. d'Intelligence Artif., 2017)

Machine Learning to Data Management: A Round Trip. - Laure Berti-Équille; Angela Bonifati; Tova Milo (ICDE, 2018)

Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. - Andrés Troya-Galvis; Pierre Gançarski; Laure Berti-Équille (Pattern Recognit., 2018)

Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. - Laure Berti-Équille; Hazar Harmouch; Felix Naumann; Noël Novelli; Saravanan Thirumuruganathan (Proc. VLDB Endow., 2018)

Reinforcement Learning for Data Preparation with Active Reward Learning. - Laure Berti-Équille (INSCI, 2019)

ML-Based Knowledge Graph Curation: Current Solutions and Challenges. - Laure Berti-Équille (WWW (Companion Volume), 2019)

Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. - Laure Berti-Équille (WWW, 2019)

Are Outlier Detection Methods Resilient to Sampling? - Laure Berti-Équille; Ji Meng Loh; Saravanan Thirumuruganathan (CoRR, 2019)

Truth Discovery. - Laure Berti-Équille (Encyclopedia of Big Data Technologies, 2019)

Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. - Laure Berti-Équille (CIDR, 2020)

Data Quality Checking for Machine Learning with MeSQuaL. - Ugo Comignani; Noël Novelli; Laure Berti-Équille (EDBT, 2020)

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images. - Robin Jarry; Marc Chaumont; Laure Berti-Équille; Gérard Subsol (ICPR Workshops (7), 2020)

Discovering Multi-Table Functional Dependencies Without Full Join Computation. - Ugo Comignani; Laure Berti-Équille; Noël Novelli (CoRR, 2020)

DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (CIKM, 2021)

A Framework for Statistically-Sound Customer Segment Search. - Sihem Amer-Yahia; Laure Berti-Équille; Abdelouahab Chibah (DSAA, 2021)

Amélioration du pronostic par apprentissage profond pour des applications de maintenance prédictive. - Guillaume Chambaret; Laure Berti-Équille; Frédéric Bouchara; Emmanuel Bruno; Vincent Martin; Fabien Chaillan (EGC, 2021)

QeNoBi: A System for QuErying and mining BehavIoral Patterns. - Abdelouahab Chibah; Sihem Amer-Yahia; Laure Berti-Équille (ICDE, 2021)

Challenges in KDD and ML for Sustainable Development. - Laure Berti-Équille; David Dao; Stefano Ermon; Bedharta Goswami (KDD, 2021)

2nd International Workshop on Data Quality Assessment for Machine Learning. - Hima Patel; Fuyuki Ishikawa; Laure Berti-Équille; Nitin Gupta 005; Sameep Mehta; Satoshi Masuda; Shashank Mujumdar; Shazia Afzal; Srikanta Bedathur; Yasuharu Nishi (KDD, 2021)

Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (aiDM@SIGMOD, 2021)

AER: Auto-Encoder with Regression for Time Series Anomaly Detection. - Lawrence Wong; Dongyu Liu; Laure Berti-Équille; Sarah Alnegheimish; Kalyan Veeramachaneni (IEEE Big Data, 2022)

Provenance-aware Discovery of Functional Dependencies on Integrated Views. - Ugo Comignani; Laure Berti-Équille; Noël Novelli; Angela Bonifati (ICDE, 2022)

In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. - Lei Xu 040; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (ICONIP (3), 2022)

Stochastic Pairing for Contrastive Anomaly Detection on Time Series. - Guillaume Chambaret; Laure Berti-Équille; Frédéric Bouchara; Emmanuel Bruno; Vincent Martin; Fabien Chaillan (ICPRAI (2), 2022)

R&R: Metric-guided Adversarial Sentence Generation. - Lei Xu 040; Alfredo Cuesta-Infante; Laure Berti-Équille; Kalyan Veeramachaneni (AACL/IJCNLP (Findings), 2022)

Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. - Hima Patel; Shanmukha C. Guttula; Ruhi Sharma Mittal; Naresh Manwani; Laure Berti-Équille; Abhijit Manatkar (KDD, 2022)

Sintel: A Machine Learning Framework to Extract Insights from Signals. - Sarah Alnegheimish; Dongyu Liu; Carles Sala; Laure Berti-Équille; Kalyan Veeramachaneni (SIGMOD Conference, 2022)

Reconstruction of Long-Term Historical Demand Data. - Reshmi Ghosh; Michael Craig; H. Scott Matthews; Constantine Samaras; Laure Berti-Équille (CoRR, 2022)

The Need for Interpretable Features: Motivation and Taxonomy. - Alexandra Zytek; Ignacio Arnaldo; Dongyu Liu; Laure Berti-Équille; Kalyan Veeramachaneni (SIGKDD Explor., 2022)

M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. - Grigor Bezirganyan; Sana Sellami; Laure Berti-Équille; Sébastien Fournier (IEEE Big Data, 2023)

Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. - Robin Jarry; Marc Chaumont; Laure Berti-Équille; Gérard Subsol (IGARSS, 2023)

Discovering Transition Pathways Towards Coviability with Machine Learning. - Laure Berti-Équille; Rafael L. G. Raimundo (CoRR, 2023)

Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection. - Sarah Alnegheimish; Laure Berti-Équille; Kalyan Veeramachaneni (CoRR, 2023)

Pyreal: A Framework for Interpretable ML Explanations. - Alexandra Zytek; Wei-En Wang; Dongyu Liu; Laure Berti-Équille; Kalyan Veeramachaneni (CoRR, 2023)

Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352). - Rosa M. Badia; Laure Berti-Équille; Rafael Ferreira da Silva; Ulf Leser (Dagstuhl Reports, 2023)

OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User. - Sarah Alnegheimish; Laure Berti-Équille; Kalyan Veeramachaneni (IEEE Big Data, 2024)

MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning. - Abdelmadjid Chergui; Grigor Bezirganyan; Sana Sellami; Laure Berti-Équille; Sébastien Fournier (IEEE Big Data, 2024)

Explingo: Explaining AI Predictions using Large Language Models. - Alexandra Zytek; Sara Pidò; Sarah Alnegheimish; Laure Berti-Équille; Kalyan Veeramachaneni (IEEE Big Data, 2024)

Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer. - Robin Jarry; Marc Chaumont; Laure Berti-Équille; Gérard Subsol (BMVC Workshops, 2024)

Can Large Language Models be Anomaly Detectors for Time Series? - Sarah Alnegheimish; Linh Nguyen; Laure Berti-Équille; Kalyan Veeramachaneni (DSAA, 2024)

Faithful Vision-Language Interpretation via Concept Bottleneck Models. - Songning Lai; Lijie Hu; Junxiao Wang; Laure Berti-Équille; Di Wang 015 (ICLR, 2024)

Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2024)

Large language models can be zero-shot anomaly detectors for time series? - Sarah Alnegheimish; Linh Nguyen; Laure Berti-Équille; Kalyan Veeramachaneni (CoRR, 2024)

Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures. - Célia Blondin; Joris Guérin; Kelly Yumi Inagaki; Guilherme Longo; Laure Berti-Équille (CoRR, 2024)

Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. - Quentin Marcou; Laure Berti-Équille; Noël Novelli (J. Biomed. Informatics, 2024)

Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion. - Grigor Bezirganyan; Sana Sellami; Laure Berti-Équille; Sébastien Fournier (AISTATS, 2025)

LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. - Grigor Bezirganyan; Sana Sellami; Laure Berti-Équille; Sébastien Fournier (SIGIR, 2025)

Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers. - Lei Xu 040; Sarah Alnegheimish; Laure Berti-Équille; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (Expert Syst. J. Knowl. Eng., 2025)